code: def test_get_prefix_tuning(self):
      model = self.get_model()
      if model.config.is_encoder_decoder:
          n_prefix_layers = 3
      elif model.config.is_composition or isinstance(
          model.config, CLIPConfig
      ):
          n_prefix_layers = 2
      else:
          n_prefix_layers = 1
  
      self.run_get_test(
          model, PrefixTuningConfig(flat=True), n_prefix_layers
      )
  
file_path: adapters/tests/methods/test_prefix_tuning.py
imports: import torch
  from adapters import ADAPTER_MODEL_MAPPING, AutoAdapterModel, PrefixTuningConfig
  from transformers import CLIPConfig
  from transformers.testing_utils import require_torch, torch_device
  from .base import AdapterMethodBaseTestMixin
label_desc: Use image node_id 5 for calling the PrefixTuningTestMixin obj's underlying member method code with example usage: obj.test_get_prefix_tuning() without return types